EFFECTIVENESS OF BAOBAB-PEARL MILLET BLEND ON BONE MINERAL DENSITY OF WOMEN AGED 40-65 YEARS IN KITUI COUNTY, KENYA

Abstract

Osteoporosis is a condition marked by low bone mass and bone tissue loss, which makes a person weak and frail. Osteoporosis, one of the most incapacitating diseases of older people, increases the risk of bone fractures, notably in the hip, spine, and wrist. Women over the age of 45 occupy a third of the hospital beds, on average. 24.3% of Kenyans are estimated to have osteoporosis. The main objective of the study will be to establish the nutrient content of baobab fortified pearl millet flour and assess its impact on bone health among women aged 40-65 years and with osteoporosis at Kitui East sub county, Kitui County. The study will adopt an experimental interventional trial study design. The sample size will be 93 female osteoporotic patients. Bone Mineral Density (BMD) data will be obtained by performing DEXA scan Absorptiometry tests on the women to get their Standard Deviation (SD) levels whereby a SD of 2.5 and above will be considered normal. Baobab dry fruit pulp, pearl millet and baobab fortified pearl millet flour will be analyzed for the nutrient content of selected nutrients of importance to bone health. Calcium, potassium, magnesium, iron, copper, vitamin C and zinc will be analyzed. The interventional trials on women with osteoporosis will make use of two formulations of pearl millet flour supplemented with baobab. Data on the study sample's nutritional status, physical activity level, and health-related characteristics will be gathered using a standardized questionnaire. With the exception of the nutritional status data, which will be entered and analyzed using the Nutri-survey computer package, data from the structured questionnaire will be entered and analyzed using SPSS version 19 software. Bone mineral density, the nutritional value of baobab-fortified pearl millet flour, and respondents' nutritional status will all be interpreted using World Health Organization (WHO) cutoff values. Chi-square (x 2 ) will be used to establish the associations between categorical data on BMD and Body mass Index (BMI). Persons Correlation (r) will be done to establish the association between continuous data. Data will be generated into means, frequencies and percentages and grouped into tables, charts and graphs. A p value of (p< 0.05) will be considered significant. Since many scientific researches has shown that majority of women don’t consume adequate bone health nutrients such as calcium in their diets, there is need of developing a nutrition intervention product which can provide the required bone health nutrients to prevent and manage osteoporosis